mnist Table – Weights & Biases

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Bcanfieldsherman's workspace

Runs

40

GFLOPs

accuracy

best_epoch

best_val_loss

epoch

global_step

loss

test_accuracy

test_loss

train/epoch__runtime

train/epoch__timestamp

train/epoch_accuracy

train/epoch_loss

train/global_step

train/loss

val_accuracy

val_loss

validation/epoch_accuracy

validation/epoch_loss

validation/evaluation_accuracy_vs_iterations

validation/evaluation_loss_vs_iterations

validation/global_step

train

Finished

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bcanfieldsherman

3y ago

12s

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relu

softmax

256

0.25

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512

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sparse_categorical_crossentropy

accuracy

sgd

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0.86731

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0.3115

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0.46621

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0.92513

0.3115

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preprocess-data

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bcanfieldsherman

3y ago

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preprocess-data

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bcanfieldsherman

4y ago

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evaluate

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bcanfieldsherman

good

4y ago

4m 52s

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relu

softmax

128

0.32368

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256

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sparse_categorical_crossentropy

accuracy

sgd

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0.8429

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evaluate

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bcanfieldsherman

4y ago

3m 36s

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0.8429

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train

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bcanfieldsherman

4y ago

34s

linear

softmax

64

0.33787

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512

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sparse_categorical_crossentropy

accuracy

adam

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0.85124

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3.92586

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0.86738

3.92586

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train

Finished

This experiment was bad

bcanfieldsherman

4y ago

24s

linear

softmax

128

0.39195

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512

10

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sparse_categorical_crossentropy

accuracy

adam

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0.8678

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1.98863

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2.87101

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0.88611

1.98863

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train

Finished

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bcanfieldsherman

4y ago

32s

linear

softmax

64

0.36433

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sparse_categorical_crossentropy

accuracy

adam

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0.85038

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3.08532

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5.09665

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0.87338

4.41831

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train

Finished

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bcanfieldsherman

4y ago

31s

linear

softmax

64

0.34459

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sparse_categorical_crossentropy

accuracy

adam

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0.85067

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3.53347

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4.90644

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0.8738

3.8823

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train

Finished

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bcanfieldsherman

4y ago

23s

linear

softmax

128

0.48313

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sparse_categorical_crossentropy

accuracy

adam

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0.86491

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1.79449

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3.31279

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0.90693

1.79449

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train

Finished

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bcanfieldsherman

4y ago

19s

linear

softmax

128

0.14376

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sparse_categorical_crossentropy

accuracy

adam

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0.8812

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1.09068

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1.89255

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0.90236

1.09068

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train

Finished

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bcanfieldsherman

4y ago

28s

relu

softmax

64

0.24695

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512

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sparse_categorical_crossentropy

accuracy

adam

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0.93022

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0.17115

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0.31556

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0.95656

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train

Finished

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bcanfieldsherman

4y ago

18s

relu

softmax

256

0.47653

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sparse_categorical_crossentropy

accuracy

sgd

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0.75213

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0.4643

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0.84884

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0.89929

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train

Finished

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bcanfieldsherman

4y ago

24s

linear

softmax

64

0.3698

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sparse_categorical_crossentropy

accuracy

adam

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0.85156

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1.47173

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2.07365

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0.8816

1.47173

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train

Finished

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bcanfieldsherman

4y ago

20s

relu

softmax

256

0.39125

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sparse_categorical_crossentropy

accuracy

adam

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0.93184

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0.095233

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0.27954

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0.97289

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train

Finished

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bcanfieldsherman

4y ago

18s

relu

softmax

256

0.39831

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sparse_categorical_crossentropy

accuracy

adam

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0.89031

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0.94787

0.18651

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train

Finished

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bcanfieldsherman

4y ago

19s

relu

softmax

64

0.18294

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256

10

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sparse_categorical_crossentropy

accuracy

sgd

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0.55064

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1.04371

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1.29703

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0.60598

1.08827

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train

Finished

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bcanfieldsherman

4y ago

18s

relu

softmax

256

0.33843

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512

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sparse_categorical_crossentropy

accuracy

sgd

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0.8518

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0.27122

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0.54614

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0.90471

0.4113

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train

Finished

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bcanfieldsherman

4y ago

18s

relu

softmax

256

0.4444

6

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512

10

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sparse_categorical_crossentropy

accuracy

sgd

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0.79407

5

0.35603

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0.75501

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0.91729

0.35603

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train

Finished

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bcanfieldsherman

4y ago

20s

relu

softmax

64

0.37057

6

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256

10

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sparse_categorical_crossentropy

accuracy

sgd

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0.40802

3

1.23498

5

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1.63344

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0.4944

1.35615

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